Created
January 26, 2021 08:36
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#!/usr/bin/env python | |
import rospy | |
from sensor_msgs.msg import Image | |
from cv_bridge import CvBridge | |
import cv2 | |
import numpy as np | |
import argparse | |
import copy | |
import math | |
def parse_args(): | |
description = "publish image file to a topic" | |
parser = argparse.ArgumentParser( | |
description=description, | |
add_help=False, | |
) | |
parser.add_argument( | |
"-h", | |
"--help", | |
action="help", | |
help="show this help message and exit", | |
) | |
parser.add_argument( | |
"-r", | |
"--rate", | |
default=None, | |
help="rate at which to publish the image (default: one-shot)", | |
) | |
parser.add_argument( | |
"-t", | |
"--topic", | |
default="image", | |
help="output topic name", | |
) | |
parser.add_argument( | |
"--encoding", | |
default=None, | |
help="image file encoding (guessed if unspecified)", | |
) | |
parser.add_argument( | |
"img_fpath", | |
help="path to the image file", | |
) | |
args = parser.parse_args() | |
return args | |
def main(): | |
args = parse_args() | |
rospy.init_node("image_file_pub") | |
img = cv2.imread(args.img_fpath, cv2.IMREAD_UNCHANGED) | |
num_channels = img.shape[2] | |
if args.encoding is not None: | |
encoding = args.encoding | |
elif num_channels == 1: | |
encoding = "mono8" | |
elif num_channels == 3: | |
encoding = "bgr8" | |
elif num_channels == 4: | |
encoding = "bgra8" | |
else: | |
fmt = "Cannot guess encoding for image file {} (shape: {})" | |
raise RuntimeError(fmt.format(args.img_fpath), img.shape) | |
img_msg = CvBridge().cv2_to_imgmsg(img, encoding=encoding) | |
pub = rospy.Publisher(args.topic, Image, queue_size=10, latch=True) | |
if args.rate is None: | |
pub.publish(img_msg) | |
rospy.spin() | |
else: | |
rate = rospy.Rate(args.rate) | |
while not rospy.is_shutdown(): | |
img_msg.header.stamp = rospy.Time.now() | |
pub.publish(img_msg) | |
rate.sleep() | |
if __name__ == "__main__": | |
main() |
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